Spatial Variability of Soil Quality Indicators, a Consequence of Soil Erosion

2013 ◽  
Author(s):  
J. R. Marques da Silva and J. M. C. N. Soares
Keyword(s):  
Soil Erosion ◽  
Spatial Variability ◽  
Soil Quality ◽  
Quality Indicators ◽  
Soil Quality Indicators

scholarly journals Spatial Variability of Physical Soil Quality Index of an Agricultural Field

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Sheikh M. Fazle Rabbi ◽  
Bina R. Roy ◽  
M. Masum Miah ◽  
M. Sadiqul Amin ◽  
Tania Khandakar
Keyword(s):  
Spatial Variability ◽  
Bulk Density ◽  
Soil Quality ◽  
Quality Indicators ◽  
Quality Index ◽  
Crop Production ◽  
Field Investigation ◽  
Agricultural Field ◽  
Soil Quality Indicators ◽  
Soil Quality Index

A field investigation was carried out to evaluate the spatial variability of physical indicators of soil quality of an agricultural field and to construct a physical soil quality index (SQIP) map. Surface soil samples were collected using10  m×10 m grid from an Inceptisol on Ganges Tidal Floodplain of Bangladesh. Five physical soil quality indicators, soil texture, bulk density, porosity, saturated hydraulic conductivity (KS), and aggregate stability (measured as mean weight diameter, MWD) were determined. The spatial structures of sand, clay, andKSwere moderate but the structure was strong for silt, bulk density, porosity, and MWD. Each of the physical soil quality indicators was transformed into 0 and 1 using threshold criteria which are required for crop production. The transformed indicators were the combined into SQIP. The kriged SQIPmap showed that the agricultural field studied could be divided into two parts having “good physical quality” and “poor physical soil quality.”

EVALUATION OF SOIL QUALITY INDICATORS BY A PARTICIPATORY METHOD IN RURAL SETTLEMENTS IN SOUTHERN BAHIA, BRAZIL

2015 ◽  
Vol 27 (3) ◽  
pp. 219-232
Author(s):  
Antônio W. O. Rocha Junior ◽  
Guilherme A. H. A. Loureiro ◽  
Quintino R. Araujo ◽  
George A. Sodré ◽  
Arlicélio Q. Paiva ◽  
...  
Keyword(s):  
Soil Quality ◽  
Quality Indicators ◽  
Rural Settlements ◽  
Soil Quality Indicators ◽  
Southern Bahia ◽  
Participatory Method

scholarly journals Effects of Soil and Water Conservation Measures on Soil Quality Indicators: The Case of Geshy Subcatchment, Gojeb River Catchment, Ethiopia

2020 ◽  
Vol 2020 ◽  
pp. 1-16 ◽  
Author(s):  
Melku Dagnachew ◽  
Awdenegest Moges ◽  
Asfaw Kebede ◽  
Adane Abebe
Keyword(s):  
Soil Quality ◽  
Quality Indicators ◽  
Water Conservation ◽  
Soil And Water Conservation ◽  
Land Resources ◽  
Soil Quality Indicators ◽  
Volumetric Soil Water Content ◽  
River Catchment ◽  
The Status ◽  
Soil And Water

Land degradation is a global negative environmental process that causes the decline in the productivity of land resources’ capacity to perform their functions. Though soil and water conservation (SWC) technologies have been adopted in Geshy subcatchment, their effects on soil quality were limitedly studied. The study was conducted to evaluate the effects SWC measures on soil quality indicators in Geshy subcatchment, Gojeb River Catchment, Ethiopia. A total of 54 soil samples (two treatments–farmlands with and without SWC measures ∗ three slope classes ∗ three terrace positions ∗ three replications) were collected at a depth of 20 cm. Statistical differences in soil quality indicators were analyzed using multivariate analysis of variance (ANOVA) following the general linear model procedure of SPSS Version 20.0 for Windows. Means that exhibited significant differences were compared using Tukey’s honest significance difference at 5% probability level. The studied soils are characterized by low bulk density, slightly acidic with clay and clay loam texture. The results revealed that farmlands with SWC measures had significantly improved soil physical (silt and clay fractions, and volumetric soil water content (VSWC)) and chemical (pH, SOC, TN, C : N ratio, and Av. phosphorus) quality indicators as compared with farmlands without SWC measures. The significantly higher VSWC, clay, SOC, TN, C : N ratio, and Av. P at the bottom slope classes and terrace positions could be attributed to the erosion reduction and deposition effects of SWC measures. Generally, the status of the studied soils is low in SOC contents, TN, C : N ratio, and Av. P (deficient). Thus, integral use of both physical and biological SWC options and agronomic interventions would have paramount importance in improving soil quality for better agricultural production and productivity.

Response of Soil Quality Indicators to the Pesticide Cadusaphos

2009 ◽  
Vol 40 (1-6) ◽  
pp. 419-434 ◽  
Author(s):  
Evangelia Vavoulidou ◽  
Elisabeth Avramides ◽  
Martin Wood ◽  
Polykarpos Lolos
Keyword(s):  
Soil Quality ◽  
Quality Indicators ◽  
Soil Quality Indicators

scholarly journals Sedentary Agriculture and Its Implications on Soil Quality in Agro-pastoral Semi-arid Karamoja, Uganda

2020 ◽  
Vol 12 (4) ◽  
pp. 148
Author(s):  
S. Muwanga ◽  
R. Onwonga ◽  
S. O. Keya ◽  
E. Komutunga
Keyword(s):  
Land Use ◽  
Soil Fertility ◽  
Data Base ◽  
Soil Quality ◽  
Quality Indicators ◽  
Soil Depth ◽  
Sustainable Land Use ◽  
Soil Quality Indicators ◽  
Local Soil ◽  
Semi Arid

Uganda Government embarked on promoting sedentary agriculture in Karamoja agro-pastoral semi-arid livelihood zone, which experience rapid environmental and high soil quality (SQ) decline. However, studies on sedentary agriculture’s impact on soil quality using farmer’s knowledge is limited. Consequently, a survey was carried out in Karamoja (Iriiri, Matany Sub-counties of Napak of districts and Rengen sub-county of Kotido) to determine the soil quality indicator parameters based on the farmers knowledge in order to build a local soil knowledge data base to better inform sustainable land use strategies. Using a semi-structured questionnaire, forty indigenous farmers per sub-county, were interviewed between August and September, 2015. The study took into account the social demographic characteristics of the people, farming enterprises, methods of crops production, crops yields trends, causes of the perceived yields trends and soil quality indicators. Prospects of developing Karamoja indigenous knowledge data base lies in visible feature that predict soil quality. Farmers used 36 parameters to determine SQ. The parameters were clustered into five categories; soil, crop, biological, environmental and management each category contributing to 42, 19,14,8 and 17% of the total indicators, respectively. The relationship between age group and the perceived indicators of soil fertility was statistically significant (p-value = 0.045) with the majority stating that they use either soil colour, soil depth or soil texture to express the fertility of soil. The farmer’s soil quality indicators assessed in this study, is important in establishing indigenous-scientific hybrid knowledge data base to enhance soil fertility maintenance and better inform policy makers and other stakeholders on development of sustainable land use strategies.

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